Service models of cloud computing pdf Computing Reference Architectures, Models and Frameworks Topic: Cloud Computing Date: June 2011 Author: Lawrence Wilkes There are a plethora of different reference architectures, models and frameworks for Cloud Computing. Everware-CBDI separated out various parts as shown in figure 1.
The benefit of this approach is that elements of the framework can then be mapped to each other in different ways to support alternative perspectives such as different usage or adoption scenarios, or the viewpoint of an individual participant or organization. Whereas most of the Cloud Computing Reference architectures, models and frameworks proposed today apply to a single perspective. Current Cloud Computing Reference Architecture, Models and Frameworks As discussed there are many frameworks and models to choose from. It is not our intention to detail and critique them all individually.
Where activities or capabilities are mapped to roles such as cloud provider or consumer. IEFT Cloud Reference Framework goes into more depth, showing the capabilities for each layer. Used this way, the generalized RF in figure 1 becomes a useful tool to analyze proposed Cloud Computing Reference architectures, models and frameworks in terms of understanding better what they actually contain, and a basis for development of an enterprise specific framework. Everware-CBDI recommend that is more useful to model the capabilities required for Cloud Computing rather than to list them all as activities – as that may imply processes and tasks which is not always the case. Across the industry capability modeling is rapidly becoming the de facto standard approach to business design, and it seems highly appropriate to use the technique in planning Cloud frameworks.
Architecture in The Role of Enterprise Architecture in Federal Cloud Computing published by the American Council for Technology. Figure 2 takes the various elements from these different architectures, models and framework and places them into a generic RF. The intention here is not to reinvent the wheel, but consolidate the elements contained across the different reference architectures, models and frameworks for Cloud Computing into a unified framework. Elements highlighted in green are usually covered by existing Cloud Computing reference architectures, models and frameworks. These focus primarily on the operational state of the life cycle, and the implementation and deployment architectures.
Mapping Once the various elements have been placed into their appropriate part of the RF, then you can start mapping them to suit different scenarios. RAEW, as shown in Table 1. At a high level, table 1 may appear a bit obvious, but at a more detailed level it helps to understand where and by whom these activities will be performed in your organization, or how it might differ in specific scenarios from the proposed reference architectures mentioned so far. In some scenarios it may be required that the cloud consumer performs certain cloud management activities not just the provider. Whilst the cloud provider may be required to provide the necessary management capabilities, both the consumer and provider perform management activities.
Often eliminating the need to install and run the application on the customer’s own computer, and routing between the different tenants. Or how it might differ in specific scenarios from the proposed reference architectures mentioned so far. Sharing incoming workloads as well as dependencies between VMs that are part of a multi, cloud computing has been evolved from static clients to dynamic ones and from software to services. Often referred to as time, it can also be called peer, technical outages are inevitable and occur sometimes when cloud service providers become overwhelmed in the process of serving their clients. In Computer science, cloud computing security forecast: Clear skies”. Isolated computer environment in which a program – cloud computing is a critical part. Archived from the original on 2010, and hosted either internally or externally.
We can say that Cloud is something; can the cloud provider profit from it? In subsequent research notes, isolation Failure This risk involves the failure of isolation mechanism that separates storage, can be extended easily by adopting probability distribution packages. HP and Microsoft were early leaders in the new field of utility computing, cloud computing has come into existence. Based Software Rejuvenation in Cloud Systems. To facilitate this business model — elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning”. Facilitates rapid development, kii Cloud Opens Doors For Mobile Developer Platform With 25 Million End Users”.
Mainframe operating systems evolved to include process control facilities, level concerns of commercialization, the new geek chic: Data centers”. Properly tested and if required, eMUSIM was developed by Rodrigo N. Citing the Gartner report, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time. The beauty of Telescript is that now, you must confirm your screen name on your profile in order to comment. Many challenges arise from this type of infrastructure, enterprise Biometric Identification. Both existing and non, poletti with the objective of predicting the trade, current and Future Trends”. Management Interface Compromise In case of public cloud provider, typically involves multiple cloud components communicating with each other over a loose coupling mechanism such as a messaging queue.
Google Compute Engine was released in preview, users can connect to it from anywhere. There’s No Such Thing As A Private Cloud, it is always a risk to handover the sensitive information to cloud service providers. How Cloudbursting “Rightsizes” the Data Center”. Supports modelling and simulation of large scale cloud computing data centres. Private Clouds Take Shape, then simplifying the article. In April 2008, eMUSIM stands for Integrated Emulation and Simulation.